Triple
T1891616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faboideae |
E41885
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object |
Indigofera
Indigofera is a large genus of flowering legumes best known for species that produce natural indigo dye and are found in tropical and subtropical regions worldwide.
|
E209715
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Indigofera | Statement: [Faboideae, includesGenus, Indigofera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Indigofera Context triple: [Faboideae, includesGenus, Indigofera]
-
A.
Argemone
Argemone is a genus of prickly poppy plants known for their spiny foliage and showy, often yellow or white flowers, native mainly to the Americas.
-
B.
Althaea
Althaea is a figure in Greek mythology, best known as the mother of Meleager and queen of Calydon.
-
C.
Senecio
Senecio is a famous 1922 abstract painting by Paul Klee depicting a stylized, mask-like human face composed of geometric shapes and bold colors.
-
D.
Aloysia
Aloysia is a feminine given name, historically used in European contexts and closely related to the name Louise.
-
E.
Aphananthe
Aphananthe is a small genus of flowering trees and shrubs known for their hard wood and occurrence in warm temperate to tropical regions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Indigofera Triple: [Faboideae, includesGenus, Indigofera]
Generated description
Indigofera is a large genus of flowering legumes best known for species that produce natural indigo dye and are found in tropical and subtropical regions worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Indigofera Target entity description: Indigofera is a large genus of flowering legumes best known for species that produce natural indigo dye and are found in tropical and subtropical regions worldwide.
-
A.
Argemone
Argemone is a genus of prickly poppy plants known for their spiny foliage and showy, often yellow or white flowers, native mainly to the Americas.
-
B.
Althaea
Althaea is a figure in Greek mythology, best known as the mother of Meleager and queen of Calydon.
-
C.
Senecio
Senecio is a famous 1922 abstract painting by Paul Klee depicting a stylized, mask-like human face composed of geometric shapes and bold colors.
-
D.
Aloysia
Aloysia is a feminine given name, historically used in European contexts and closely related to the name Louise.
-
E.
Aphananthe
Aphananthe is a small genus of flowering trees and shrubs known for their hard wood and occurrence in warm temperate to tropical regions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb145f96c8190a71bb9e442892e68 |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf68a8d48190a3360557def67692 |
completed | March 8, 2026, 8:43 p.m. |
| NEDg | Description generation | batch_69addff3e9a081908cba77103cd60171 |
completed | March 8, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade07143808190b5dfe380428eb496 |
completed | March 8, 2026, 8:47 p.m. |
Created at: March 4, 2026, 7:34 p.m.